import unittest

import allure
import pytest
from parameterized import parameterized
from ui_automation_framework.core import TestStatus
from ui_automation_framework.utils import AppConfig

from app.src.pages.album_page import AlbumPage
from app.src.pages.apple_playlist_page import ApplePlaylistPage
from app.src.pages.comparison_page import TrackComparisonPage
from app.src.pages.left_navigation_panel import LeftNavigationPanel
from app.src.pages.login_page import LoginPage
from app.src.pages.track_page import TrackPage


@pytest.mark.usefixtures("set_up", "one_time_set_up")
class DeepLinkingTrackPageTest(unittest.TestCase):
    @pytest.fixture(autouse=True)
    def classSetup(self):
        self.loginPage = LoginPage(self.driver)
        self.tp = TrackPage(self.driver)
        self.ap = AlbumPage(self.driver)
        self.app = ApplePlaylistPage(self.driver)
        self.cp = TrackComparisonPage(self.driver)
        self.leftPanel = LeftNavigationPanel(self.driver)
        self.ts = TestStatus(self.driver)

    @parameterized.expand([("apple", str(AppConfig.get("track15")["apple_id"])), ("spotify", AppConfig.get("track15")["id"])])
    @allure.story("AP-4646")
    @allure.severity(allure.severity_level.NORMAL)
    @allure.title("[Track Page]Verification of 'By Voice' graph view for Amazon DSP")
    @allure.description("""[Track Page]Verification of 'By Voice' graph view for Amazon DSP""")
    def test_by_voice_amazon(self, dsp, id):
        self.loginPage.login_with_worker()
        self.tp.open_track_page(apple_spotify=dsp, track_id=id, market=AppConfig.get("market")["us"]["url"])
        # step 1
        self.tp.select_dsp(AppConfig.get("dsp")["amazon"])
        self.tp.verify_graph_view(view=self.tp.graph_amazon)
        # step 2
        self.tp.change_source_type(self.tp.dd_by_voice)
        self.tp.verify_graph_view(view=self.tp.graph_by_voice)
        # step 3-4
        self.tp.graph_verify_legend(view=self.tp.graph_by_voice)
        url_before = self.tp.get_url()
        # step 5
        for p in self.app.dp_predefined_periods:
            totals_before = self.tp.graph_amazon_get_totals()
            self.tp.select_predefined_period(period=p)
            totals_after = self.tp.graph_amazon_get_totals()
            self.ts.markFinal(totals_before != totals_after, f"STEP 5: {totals_before} and {totals_after} are different")
        # step 6
        totals_before = self.tp.graph_amazon_get_totals()
        self.tp.select_previous_mounth_period()
        totals_after = self.tp.graph_amazon_get_totals()
        self.ts.markFinal(totals_before != totals_after, f"STEP 6: {totals_before} and {totals_after} are different")
        # step 7
        self.tp.open_url(url_before + "&str_gr_start_date=2020-11-14&str_gr_end_date=2020-11-16")
        totals_exp = ["198,738", "66,246", "136,425\n(68.6%)", "45,475", "62,313\n(31.4%)", "20,771"]
        totals_ui = self.tp.graph_amazon_get_totals()
        device_type_tooltip_values = self.tp.get_device_type_tooltips()["streams"]
        tooltip_val_exp = [136425, 45286, 4673, 12354]
        self.ts.markFinal(totals_ui == totals_exp, f"STEP 7: {totals_ui} and {totals_exp} match")
        self.ts.markFinal(
            tooltip_val_exp == device_type_tooltip_values,
            f"device type tooltip values: {device_type_tooltip_values} and {tooltip_val_exp} match",
        )
        # step 8
        tooltip = self.tp.graph_get_tooltips()[0]
        self.ts.markFinal("Non-Voice Controlled " and "Voice Controlled" and "Total" in tooltip, f"STEP 8: tooltip is: {tooltip}")
        # step 9
        for m in [
            AppConfig.get("market")["spain"]["name"],
            AppConfig.get("market")["australia"]["name"],
            AppConfig.get("market")["global"]["name"],
        ]:
            totals_before = self.tp.graph_amazon_get_totals()
            self.tp.select_market(m)
            self.tp.select_dsp(AppConfig.get("dsp")["amazon"])
            self.tp.change_source_type(self.tp.dd_by_voice)
            totals_after = self.tp.graph_amazon_get_totals()
            self.ts.markFinal(totals_before != totals_after, f"STEP 9: {totals_before} and {totals_after} are different")
        # step 10-11
        self.tp.export_to_file_amazon(source=self.tp.graph_by_voice)